E-learning initiatives in forensic interpretation: report on experiences from current projects and outlook

This paper reports on the purpose, design, methodology and target audience of E-learning courses in forensic interpretation offered by the authors since 2010, including practical experiences made throughout the implementation period of this project. This initiative was motivated by the fact that reporting results of forensic examinations in a logically correct and scientifically rigorous way is a daily challenge for any forensic practitioner. Indeed, interpretation of raw data and communication of findings in both written and oral statements are topics where knowledge and applied skills are needed. Although most forensic scientists hold educational records in traditional sciences, only few actually followed full courses that focussed on interpretation issues. Such courses should include foundational principles and methodology - including elements of forensic statistics - for the evaluation of forensic data in a way that is tailored to meet the needs of the criminal justice system. In order to help bridge this gap, the authors' initiative seeks to offer educational opportunities that allow practitioners to acquire knowledge and competence in the current approaches to the evaluation and interpretation of forensic findings. These cover, among other aspects, probabilistic reasoning (including Bayesian networks and other methods of forensic statistics, tools and software), case pre-assessment, skills in the oral and written communication of uncertainty, and the development of independence and self-confidence to solve practical inference problems. E-learning was chosen as a general format because it helps to form a trans-institutional online-community of practitioners from varying forensic disciplines and workfield experience such as reporting officers, (chief) scientists, forensic coordinators, but also lawyers who all can interact directly from their personal workplaces without consideration of distances, travel expenses or time schedules. In the authors' experience, the proposed learning initiative supports participants in developing their expertise and skills in forensic interpretation, but also offers an opportunity for the associated institutions and the forensic community to reinforce the development of a harmonized view with regard to interpretation across forensic disciplines, laboratories and judicial systems.

Temporal distribution and magnitude of the vulnerability period around stroke depend on stroke subtype.

Background: We aimed to analyze the rate and time distribution of pre- and post-morbid cerebrovascular events in a single ischemic stroke population, and whether these depend on the etiology of the index stroke. Methods: In 2,203 consecutive patients admitted to a single stroke center registry (ASTRAL), the ischemic stroke that led to admission was considered the index event. Frequency distribution and cumulative relative distribution graphs of the most recent and first recurrent event (ischemic stroke, transient ischemic attack, intracranial or subarachnoid hemorrhage) were drawn in weekly and daily intervals for all strokes and for all stroke types. Results: The frequency of events at identical time points before and after the index stroke was mostly reduced in the first week after (vs. before) stroke (1.0 vs. 4.2%, p < 0.001) and the first month (2.7 vs. 7.4%, p < 0.001), and then ebbed over the first year (8.4 vs. 13.1%, p < 0.001). On daily basis, the peak frequency was noticed at day -1 (1.6%) with a reduction to 0.7% on the index day and 0.17% 24 h after. The event rate in patients with atherosclerotic stroke was particularly high around the index event, but 1-year cumulative recurrence rate was similar in all stroke types. Conclusions: We confirm a short window of increased vulnerability in ischemic stroke and show a 4-, 3- and 2-fold reduction in post-stroke events at 1 week, 1 month and 1 year, respectively, compared to identical pre-stroke periods. This break in the 'stroke wave' is particularly striking after atherosclerotic and lacunar strokes.

Produção de girassol sob estresse salino e adubação nitrogenada

A limitada disponibilidade de águas de baixa salinidade na região semiárida brasileira faz com que os produtores utilizem, na irrigação, águas com teores salinos de moderado a alto. Considerando que o girassol (Helianthus annuus L.) vem ganhando destaque nessa região por se caracterizar como fonte potencial de energia renovável, realizou-se esta pesquisa visando avaliar a sua produção sob diferentes níveis de salinidade da água de irrigação (CEa) e doses de adubação nitrogenada, em experimento conduzido em casa de vegetação da Universidade Federal de Campina Grande (UFCG), entre julho e outubro de 2009. Utilizou-se a aleatorização em bloco, testando-se cinco níveis de CEa (0,5 - controle; 1,6; 2,7; 3,8; e 4,9 dS m-1) e quatro doses de adubação nitrogenada (50, 75, 100 e 125 % da dose indicada para ensaios em vaso), em esquema fatorial 5 x 4, com três repetições. A salinidade da água de irrigação e a adubação nitrogenada afetam as plantas de girassol de forma independente. A salinidade da água de irrigação a partir de 0,5 dS m-1 altera linear e negativamente a área foliar, a matéria seca da parte aérea e das raízes, a massa e produção total de aquênios e o índice de colheita, enquanto a duração do ciclo da cultura e o intervalo do tempo entre a formação e maturação fisiológica dos aquênios diminuem e sua massa aumenta com as doses de N.

Postoperative Cognitive Dysfunction (POCD) and Inflammatory Markers in Elderly Patients

Introduction: Particularly in elderly patients, the brain responds to a systemic inflammatory response with an increased production of inflammatory mediators. This has hypothetically been linked to the development of postoperative cognitive dysfunction (POCD). Methods: We investigated 31 patients aged >65 yrs undergoing elective major surgery under standardized general anaesthesia (thiopental, sevoflurane, fentanyl, atracurium). Cognitive function was measured preoperatively and 7 days postoperatively using the extended version of the Consortium to Establish a Registry for Alzheimer's Disease - Neuropsychological Assessment Battery (CERAD-NAB, validated German version) for which we developed a diagnostic cut-off in healthy elderly volunteers. Systemic C-reactive protein (CRP) and interleukin 6 (IL-6) were measured preoperatively, 2 days postoperatively, and 7 days postoperatively. Values for CRP, IL-6, operative characteristics and hospital length of stay in patients with POCD and without POCD were compared using the Mann- Whitney U test and are shown as median [range]. Results: Fourteen patients (45%) developed POCD. Values for CRP were not statistically different in patients with POCD and without POCD but tended to be higher in patients with POCD 2 days postoperatively. Patients with POCD had significantly higher IL-6 values on postoperative days 2 and 7 (table 1). These patients also had a significantly longer duration of anaesthesia (305 [195-620] vs.190 [150-560] min, p = 0.034), larger intraoperative blood loss (425 [0-1600] vs. 100 [0-1500] ml, p = 0.018) and longer hospital stays (15 [8-45] vs. 8 [4-40] days, p = 0.008). Table 1 POCD (n = 14) No POCD (n = 17) p value CRP (mg/dl) preop. 4.0 [1.0-245] 4.2 [0.3-36.2] 0.6 2 days postop. 223 [20-318] 98 [4.5-384] 0.07 7 days postop. 58 [15-147] 44 [11-148] 0.2 IL-6 (U/ml) preop. 2[2-28.1] 2 [2-7.3] 0.8 2 days postop. 56 [17-315] 20 [2-123] 0.009 7 days postop. 9[2-77] 4 [2-16] 0.03 Interpretation: In this small group of patients, high IL-6 values postoperatively were associated with POCD supporting a role for systemic inflammation in the development of POCD. In patients with POCD, duration of anaesthesia was significantly longer, and intraoperative blood losses were larger. These risk factors will need to be confirmed in a larger group of patients. The difference in length of stay may be indicative of postoperative complications, which have been linked to POCD earlier.

Modelling non-industrial private forest landowners' strategic decision making by using logistic regression and neural networks: case of predicting the choice of forest taxation basis

Summary